About AUMOps

Built for asset managers—not general-purpose technology consulting.

AUMOps makes AI actionable across the systems, data, content, controls, and workflows that connect an investment capability to the market.

We understand the work between a strategy and an allocation.

AUMOps is an applied AI and technical operations firm for boutique and mid-sized asset managers.

Growing asset managers often reach a point where off-the-shelf software is no longer enough, but an enterprise transformation is unnecessary. Distribution works across intermediary and institutional channels. Product teams coordinate vehicles, share classes, performance, benchmarks, holdings, commentary, and disclosures. Operations receives data from administrators and other third parties. Marketing tries to connect engagement to pipeline. The seams become manual.

AUMOps exists for that middle ground. We combine applied AI, software implementation, data integration, marketing technology, and custom development with an understanding of mutual funds, ETFs, SMAs, model portfolios, private-market strategies, and the workflows used to bring them to advisors, home offices, consultants, and allocators.

For AI, that means more than model access. It means permission-aware product knowledge, cited answers, defined outputs, human review, evaluations, logs, and controlled actions inside CRM, reporting, content, and diligence workflows.

The objective is not to replace every platform. It is to make the asset-management stack operate coherently, fill the gaps that matter, and create measurable capacity across distribution, product, marketing, data, and investment operations.

Implementation-focused guidance. Explicit evidence boundaries.

AUMOps guidance is designed to explain the systems, data, controls, owners, exceptions, measures, and tradeoffs behind a practical implementation.

Representative operating designs are labeled and do not present projected benefits as achieved client outcomes. Vendor references identify potential integration surfaces and do not imply a partnership or guaranteed access.

Read the AUMOps editorial and evidence standards

Where we focus

The operating teams that move investment products to market.

Intermediary distribution

Advisor and firm intelligence, wholesaler workflows, territory coverage, home-office relationships, platform activity, and campaign follow-up.

Explore distribution integrations

Institutional distribution

Allocator and consultant intelligence, opportunity pipelines, RFP and DDQ processes, diligence content, and relationship history.

Explore applied AI workflows

Product & reporting

Fund and strategy data, performance, benchmarks, holdings, share classes, commentary, disclosures, factsheets, and publishing controls.

Explore factsheet automation

Marketing & digital

Product discovery, content and document journeys, analytics, attribution, SEO, AI-search visibility, and conversion into distribution action.

Explore technical marketing

Data & operations

Source authority, identity resolution, AUM and flow data, reconciliations, data quality, lineage, dashboards, integrations, and exceptions.

Explore data operations

Applied AI

Approved knowledge, permission-aware retrieval, copilots, agentic workflows, human review, evaluations, audit trails, and measurable adoption.

Explore applied AI

Operating principles

Begin with the workflow

Technology decisions should follow the real process, users, controls, and desired business outcome.

Use what already works

A useful integration or focused application is often more valuable than replacing an entire platform.

Make ownership explicit

Every automated process still needs clear sources, checks, exception handling, and accountable owners.

Build for adoption

A technically elegant solution has little value if the people doing the work cannot understand or trust it.

Measure the result

Success should show up in saved time, fewer corrections, better attribution, faster delivery, or stronger engagement.

Improve continuously

Data sources, products, vendors, regulations, and distribution strategies change. The operating layer must adapt.

Build a more connected operating model.

Start with one persistent bottleneck and a clear business outcome.

Talk with AUMOps